A unified game-theoretic approach to multiagent reinforcement learning
There has been a resurgence of interest in multiagent reinforcement learning (MARL), due
partly to the recent success of deep neural networks. The simplest form of MARL is …
partly to the recent success of deep neural networks. The simplest form of MARL is …
Bounds and dynamics for empirical game theoretic analysis
This paper provides several theoretical results for empirical game theory. Specifically, we
introduce bounds for empirical game theoretical analysis of complex multi-agent …
introduce bounds for empirical game theoretical analysis of complex multi-agent …
Empirical mechanism design for optimizing clearing interval in frequent call markets
E Brinkman, MP Wellman - Proceedings of the 2017 ACM Conference …, 2017 - dl.acm.org
Several recent authors have advocated for financial markets to move from continuous
clearing to discrete or batched clearing, as a way to defeat the latency arms race: the never …
clearing to discrete or batched clearing, as a way to defeat the latency arms race: the never …
[PDF][PDF] Call markets with adaptive clearing intervals
Trading mechanisms play a fundamental role in the health of financial markets. For example,
it is believed that continuous double auctions constitute fertile soil for predatory behaviour …
it is believed that continuous double auctions constitute fertile soil for predatory behaviour …